Threatening language detection and target identification in Urdu tweets
Automatic detection of threatening language is an important task, however, most of the
existing studies focused on English as the target language, with limited work on low …
existing studies focused on English as the target language, with limited work on low …
Fine-tuning transformer models using transfer learning for multilingual threatening text identification
Threatening content detection on social media has recently gained attention. There is very
limited work regarding threatening content detection in low-resource languages, especially …
limited work regarding threatening content detection in low-resource languages, especially …
Threatening URDU language detection from tweets using machine learning
Technology's expansion has contributed to the rise in popularity of social media platforms.
Twitter is one of the leading social media platforms that people use to share their opinions …
Twitter is one of the leading social media platforms that people use to share their opinions …
Automatic detection of hateful comments in online discussion
HL Hammer - Industrial Networks and Intelligent Systems: Second …, 2017 - Springer
Making violent threats towards minorities like immigrants or homosexuals is increasingly
common on the Internet. We present a method to automatically detect threats of violence …
common on the Internet. We present a method to automatically detect threats of violence …
The origin and value of disagreement among data labelers: A case study of individual differences in hate speech annotation
Human annotated data is the cornerstone of today's artificial intelligence efforts, yet data
labeling processes can be complicated and expensive, especially when human labelers …
labeling processes can be complicated and expensive, especially when human labelers …
Individual vs. group violent threats classification in online discussions
Violent threat is a serious crime affecting the targeted individuals or groups. It is essential for
media providers to block the users that post such threats. In this paper, we focused on …
media providers to block the users that post such threats. In this paper, we focused on …
[PDF][PDF] Threat modelling and detection using semantic network for improving social media safety
F Fkih, G Al-Turaif - … Journal of Computer Network and Information …, 2023 - researchgate.net
Social media provides a free space to users to post their information, opinions, feelings, etc.
Also, it allows users to easily and simultaneously communicate with each other. As a result …
Also, it allows users to easily and simultaneously communicate with each other. As a result …
Efficient discovery of time series motifs with large length range in million scale time series
Detecting repeated variable-length patterns, also called variable-length motifs, has received
a great amount of attention in recent years. Current state-of-the-art algorithm utilizes fixed …
a great amount of attention in recent years. Current state-of-the-art algorithm utilizes fixed …
Threat: A large annotated corpus for detection of violent threats
Understanding, detecting, moderating and in extreme cases deleting hateful comments in
online discussions and social media are well-known challenges. In this paper we present a …
online discussions and social media are well-known challenges. In this paper we present a …
[PDF][PDF] Threat detection in online discussions
This paper investigates the effect of various types of linguistic features (lexical, syntactic and
semantic) for training classifiers to detect threats of violence in a corpus of YouTube …
semantic) for training classifiers to detect threats of violence in a corpus of YouTube …